Mcp-Use

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mcp-use is an AI Agents & Automation tool that provides a full-stack framework for building MCP Apps for ChatGPT/Claude and MCP Servers for AI Agents. It includes SDKs, an inspector for testing, and deployment tools.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is mcp-use?

mcp-use is a comprehensive, full-stack framework designed for developing Model Context Protocol (MCP) applications. It enables developers to create MCP Apps compatible with large language models like ChatGPT and Claude, as well as build MCP Servers for AI Agents. The framework offers SDKs in TypeScript and Python for server and app development, an interactive inspector for testing and debugging MCP servers, and deployment tools for production environments. It also provides a full MCP Agent and Client implementation, allowing for the creation of AI agents that can interact with various MCP servers and tools. The platform emphasizes building interactive widgets that function across different MCP clients, ensuring a write-once, run-everywhere approach.

Best used for

Ideal for developers who need to build custom AI agents, create interactive AI applications for LLMs like ChatGPT and Claude, and deploy these solutions to production. Especially valuable for those seeking a full-stack framework with robust testing and deployment capabilities for Model Context Protocol.

Common actions

build AI agents

develop AI apps

integrate AI tools

debug MCP servers

deploy AI solutions

"AI Agents"github copilotface swappingautomated workflowdeepfakeopen-sourceworkflowslow-code/no-codecollaboration

Capabilities

Key features

TypeScript/Python SDKs
MCP Servers development
MCP Apps development
Interactive MCP Inspector
AI Agent/Client implementation
Production deployment tools
Cross-platform widgets

Target Audience

developerdata scientiststartup founder

Integrations

githublangchain

Pricing & Plans

Open Source

Free

FAQs

What is the Model Context Protocol (MCP) that mcp-use is built upon?

The Model Context Protocol (MCP) is a standard that mcp-use leverages to enable communication and interaction between AI agents, large language models (LLMs) like ChatGPT/Claude, and external tools or services. It allows for the creation of interoperable AI applications and servers.

Can I use mcp-use to build AI agents with existing LLM frameworks like LangChain?

Yes, mcp-use provides integrations with popular LLM frameworks. For example, you can use it with LangChain and OpenAI's ChatOpenAI to build sophisticated AI agents that can interact with MCP servers and utilize various tools defined within the framework.

How does the mcp-use Inspector help in developing MCP applications?

The mcp-use Inspector is an interactive web-based tool that allows developers to test and debug their MCP servers and applications in real-time. It's automatically included when you run an MCP server locally and can also be used online or as a standalone CLI tool to inspect any MCP server.

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